Phenotypes of Secondary Tricuspid Regurgitation: Unsupervised Clustering Analysis of Artificial Intelligence-Derived Echocardiographic Variables.
- DOI
- 10.1016/j.jacasi.2026.04.034
- Published
- 2026-06-12
- Container
- JACC Asia
- Publisher
- Not recorded
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.1016/j.jacasi.2026.04.034,
title = {Phenotypes of Secondary Tricuspid Regurgitation: Unsupervised Clustering Analysis of Artificial Intelligence-Derived Echocardiographic Variables.},
author = {Chan RNF and Zhao C and Chan RNC and Wong M and So K and Kam K and Tam MTK and Fan Y and Jiang Z and Huang F and Dougherty S and Wai Lee AP.},
year = {2026},
journal = {JACC Asia},
doi = {10.1016/j.jacasi.2026.04.034},
url = {https://doi.org/10.1016/j.jacasi.2026.04.034}
}RIS
TY - JOUR TI - Phenotypes of Secondary Tricuspid Regurgitation: Unsupervised Clustering Analysis of Artificial Intelligence-Derived Echocardiographic Variables. AU - Chan RNF AU - Zhao C AU - Chan RNC AU - Wong M AU - So K AU - Kam K AU - Tam MTK AU - Fan Y AU - Jiang Z AU - Huang F AU - Dougherty S AU - Wai Lee AP. PY - 2026 JO - JACC Asia DO - 10.1016/j.jacasi.2026.04.034 UR - https://doi.org/10.1016/j.jacasi.2026.04.034 ER -
APA
RNF, C., C, Z., RNC, C., M, W., K, S., K, K., MTK, T., Y, F., Z, J., F, H., S, D., & AP., W. L. (2026). Phenotypes of Secondary Tricuspid Regurgitation: Unsupervised Clustering Analysis of Artificial Intelligence-Derived Echocardiographic Variables.. JACC Asia. https://doi.org/10.1016/j.jacasi.2026.04.034
Source records
- europe-pmc · retrieved 2026-09-27T07:30:34.516Z